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Live In Data Platform Engineer Jobs in New York (NOW HIRING)

Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end ... HHAeXchange is seeking a Platform Engineer to join our Data & AI Engineering team. Reporting to the ...

... in platform, infrastructure, backend, or systems engineering * Strong experience with service-oriented architecture, networking, and distributed systems * Ability to reason clearly about how data ...

... in platform, infrastructure, backend, or systems engineering * Strong experience with service-oriented architecture, networking, and distributed systems * Ability to reason clearly about how data ...

... in platform, infrastructure, backend, or systems engineering * Strong experience with service-oriented architecture, networking, and distributed systems * Ability to reason clearly about how data ...

Data Engineer

Jericho, NY · On-site

$118K - $142K/yr

Kimco Realty Corporation is seeking a Data Engineer to design, build, and scale their enterprise data platform in the cloud. The role involves developing data pipelines, ensuring data reliability and ...

Data Engineer

New York, NY · On-site

$140K - $180K/yr

... platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live ... Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville ...

Our platform monitors 5,000+ live government data sources, 100,000+ federal and state agencies, and ... In the past 18 months, we've earned FedRAMP High and IL5 authorizations, joined GSA MAS and the MDA ...

Data Engineer

Jericho, NY · On-site

$115K - $140K/yr

The Data Engineer will play a critical role in designing, building, and scaling Kimco's enterprise data platform in the cloud. This role is responsible for developing modern data pipelines, enabling ...

Data Engineer

Jericho, NY · On-site

$115K - $140K/yr

The Data Engineer will play a critical role in designing, building, and scaling Kimco's enterprise data platform in the cloud. This role is responsible for developing modern data pipelines, enabling ...

Data Engineer

New York, NY

$125K - $150K/yr

Minimum Years of Experience * 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support). Essential Job Expectations While the ...

Data Engineer

Short Hills, NJ · On-site

$124K - $149K/yr

Minimum Years of Experience * 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support). Essential Job Expectations While the ...

Showing results 41-60

Live In Data Platform Engineer information

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

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Data Platform Engineering Manager

Octagon Talent

New York, NY • Remote

Full-time

Re-posted 25 days ago


Job description

Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure placements that last.


Job Overview:


One of our explosively growing clients is building the future of identity verification and fraud detection, powering real-time decisions for many of the largest financial institutions in the U.S. Octagon Talent Solutions is in search of a Data Platform Engineering Manager to lead a team responsible for the data infrastructure that underpins their products and decisioning systems, spanning ingestion, transformation, storage, and low-latency serving. This is a fully remote (US-based) role with high ownership, meaningful technical depth, and a direct impact on how we detect and prevent identity fraud at scale.


RESPONSIBILITIES:


  • Lead, mentor, and grow a high-performing Data Platform team (currently ~7 engineers, expanding).
  • Set technical direction and drive architecture for real-time and batch data systems—ingestion, processing, storage, and serving.
  • Partner closely with Data Science, Product, and Engineering to ensure data is reliable, accessible, and actionable across the business.
  • Establish and reinforce best practices for data quality, observability, governance, and schema management.
  • Improve platform performance, scalability, and cost efficiency in collaboration with Infrastructure/Platform teams.
  • Build an execution culture of ownership and accountability (monitoring, alerting, incident response, and continuous improvement).
  • Contribute hands-on when needed through design reviews, technical deep-dives, and problem-solving in complex systems.
  • Maintain a high hiring bar and help scale the team with thoughtful recruiting and onboarding.


REQUIREMENTS:


  • 2–5+ years of engineering management experience leading data/platform/backend teams (with strong people leadership).
  • Prior experience as a senior/staff-level data engineer or backend engineer with a strong data focus; still able to go deep “in the weeds” when required.
  • Proven track record building real-time, low-latency production systems where data is accurate, controllable, and served quickly to downstream systems.
  • Strong fundamentals in system design, distributed systems, and operational reliability.
  • Experience with modern cloud data platforms and architectures (AWS preferred).
  • Proficiency in Python, Golang, or similar languages; comfortable reviewing and guiding production-quality code.
  • Strong SQL and data modeling knowledge; experience with relational databases and warehouses.
  • Startup or growth-stage experience; comfortable operating in a fast-paced, high-ownership environment.


Nice to have: Spark/EMR, Kafka/Flink, Redshift, OpenSearch, Docker/containerized deployments, and experience supporting ML or fraud/risk systems.